Zobrazeno 1 - 10
of 90
pro vyhledávání: '"Hyo-Jae Lee"'
Autor:
Hyo-jae Lee, Jeong Hoon Lee, Jong Eun Lee, Yong Min Na, Min Ho Park, Ji Shin Lee, Hyo Soon Lim
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract This study assessed pretreatment breast MRI coupled with machine learning for predicting early clinical responses to neoadjuvant chemotherapy (NAC) in triple-negative breast cancer (TNBC), focusing on identifying non-responders. A retrospect
Externí odkaz:
https://doaj.org/article/51ded7f12571493cb106bb70974334a2
Publikováno v:
Tomography, Vol 9, Iss 1, Pp 1-11 (2022)
The prediction of an occult invasive component in ductal carcinoma in situ (DCIS) before surgery is of clinical importance because the treatment strategies are different between pure DCIS without invasive component and upgraded DCIS. We demonstrated
Externí odkaz:
https://doaj.org/article/e4d27b03fcde46fca6414a8dbeb8468d
Autor:
Seong Woo Cho, Won Gi Jeong, Jong Eun Lee, In‐Jae Oh, Sang Yun Song, Hye Mi Park, Hyo‐Jae Lee, Yun‐Hyeon Kim
Publikováno v:
Thoracic Cancer, Vol 13, Iss 7, Pp 977-985 (2022)
Abstract Background Interstitial lung abnormality (ILA) is closely related to lung cancer. This study aimed to assess whether the presence of ILA is associated with the clinicoradiological features of elderly patients (≥70 years) with early‐stage
Externí odkaz:
https://doaj.org/article/6e190ca036a4445fa78624291de6214b
Publikováno v:
BMC Women's Health, Vol 21, Iss 1, Pp 1-6 (2021)
Abstract Background Initial detection of axillary metastasis without known ipsilateral breast cancer could be a challenging diagnostic problem. Four options could be considered for the primary site of the malignancy: ipsilateral occult breast cancer,
Externí odkaz:
https://doaj.org/article/554f0f54cd7d4d99b8640106c71e1c1f
Autor:
Hyo-jae Lee, Jae Hyeok Park, Anh-Tien Nguyen, Luu-Ngoc Do, Min Ho Park, Ji Shin Lee, Ilwoo Park, Hyo Soon Lim
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectiveTo investigate whether support vector machine (SVM) trained with radiomics features based on breast magnetic resonance imaging (MRI) could predict the upgrade of ductal carcinoma in situ (DCIS) diagnosed by core needle biopsy (CNB) after sur
Externí odkaz:
https://doaj.org/article/87e5639c946f490c99938f34d92ed6b0
Publikováno v:
대한영상의학회지, Vol 82, Iss 4, Pp 971-976 (2021)
Phyllodes tumors of the breast are relatively rare fibroepithelial tumors that account for less than 1% of primary breast neoplasms. Phyllodes tumors have epithelial and stromal components and they originate from the periductal stroma. They are cla
Externí odkaz:
https://doaj.org/article/1c006691189147939faee3d5e5badae2
Autor:
Hye Mi Park, Yun Hyeon Kim, Hyo Soon Lim, So Yeon Ki, Hyo-jae Lee, Jong Eun Lee, Won Gi Jeong
Publikováno v:
대한영상의학회지, Vol 82, Iss 4, Pp 1000-1004 (2021)
Percutaneous transthoracic needle biopsy (PTNB) is a minimally-invasive procedure that is an indispensable tool for evaluating pulmonary lesions. Though extremely rare, tumor seeding of the pleura and chest wall can occur as a complication. Given t
Externí odkaz:
https://doaj.org/article/a7244afb85ee4b319b8f145595207f6e
Publikováno v:
대한영상의학회지, Vol 81, Iss 3, Pp 665-675 (2020)
Purpose This study aimed to identify independent predictors of favorable outcomes associated with emergent carotid artery stenting (CAS) in patients with acute anterior circulation stroke. Materials and Methods This study included 93 patients with
Externí odkaz:
https://doaj.org/article/ceb0ad2643fb4342bf591e24d830de48
Autor:
Hyo-jae Lee, Anh-Tien Nguyen, So Yeon Ki, Jong Eun Lee, Luu-Ngoc Do, Min Ho Park, Ji Shin Lee, Hye Jung Kim, Ilwoo Park, Hyo Soon Lim
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectiveThis study was conducted in order to investigate the feasibility of using radiomics analysis (RA) with machine learning algorithms based on breast magnetic resonance (MR) images for discriminating malignant from benign MR-detected additional
Externí odkaz:
https://doaj.org/article/39ea7ab626464e2f96a3b96afcd71066
Autor:
Seung Yoon Chae, Hye Mi Park, Tae Hoon Oh, Jong Eun Lee, Hyo-jae Lee, Won Gi Jeong, Yun-Hyeon Kim
Publikováno v:
Journal of International Medical Research, Vol 48 (2020)
Fusarium is a large genus of filamentous fungi that are rarely associated with disease in humans. In the clinical setting, Fusarium species are often difficult to distinguish from other fungal organisms, particularly Aspergillus species. Invasive fun
Externí odkaz:
https://doaj.org/article/2754b34303b54310bffc6b21fe40eb44